Data Engineer

Living Our Values
All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.

Why Join Us

• Career Growth: Advance your career with opportunities for leadership and personal development.
• Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.
• Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.

Total Rewards
Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page.

A Day In The Life
This Data Engineer supports the development and operation of data ingestion pipelines and analytics solutions using Databricks for multi-disciplinary departments across the organization. This role is designed for data engineers interested in modern data engineering, data modeling, and Databricks application development while learning enterprise standards for reliability, security, and governance.

As a Data Engineer you will:

• Build and maintain Databricks-based ingestion pipelines using Delta Lake
• Support batch and incremental ingestion workflows
• Ingest data from databases, flat files, and APIs
• Develop metadata-driven ETL processes
• Create and maintain data models for analytics and reporting
• Develop Databricks applications, notebooks, and dashboards
• Write documented code aligned with engineering standards
• Participate in code reviews, testing, and deployment
• Monitor pipelines and troubleshoot failures
• Collaborate with multi-disciplinary business units to support data use cases
• Document data pipelines, models, and operational procedures

What We Need From You

• Bachelor's Degree in Data Engineering, Computer Science, MIS, or other related discipline.
• 3-4 years of experience including interships or academic projects Required
• Familiarity with Databricks, Apache Spark, or PySpark Required
• Working knowledge of Python and Spark SQL Preferred
• Understanding of ETL/ELT, schemas, and data quality concepts Required
• Exposure to cloud platforms such as AWS, Azure, or GCP Preferred
• Experience using Delta Lake
• Experience developing metadata-driven ETL processes
• Experience creating analytical data models
• Experience developing Databricks applications or dashboards
• Proficiency in data modeling and database management.
• Familiarity with data warehousing and cloud platforms (e.g., AWS, Azure, or Google Cloud).
• Strong analytic skills related to working with unstructured datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• Strong project management and organizational skills.
• Ability to collaborate effectively with cross-functional teams and learn in a fast-paced environment.
• Excellent communication skills written and verbal.
• Exceptional organizational and problem-solving skills
• Strong business acumen
• Skill in collecting and analyzing complex data.
• Knowledge of various operating systems and platforms.
• Problem solving and analytical skills.

Physical and Environmental RequirementsThe physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job, the associate is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.

Travel Requirements
10% Minimal travel is required for this position (up to 10% of the time and on a domestic basis).

Join Us
The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities, including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation, please contact us at TalentAcquisition@friedkin.com. We celebrate diversity and are committed to creating an inclusive environment for all associates.

We are seeking candidates legally authorized to work in the United States, without Sponsorship.

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